This page is about trend in personal consumption in the US

library(tidyverse)
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library(plotly)
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library(rvest)
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library(ggplot2)
library(lubridate)
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Import data

consumption_product = readxl::read_excel("./data/consumption_product.xlsx") %>% 
  janitor::clean_names() %>% 
  pivot_longer(
    x2019_q1 : x2021_q3,
    names_to = "time",
    names_prefix = "x",
    values_to = "consumption"
  ) 
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consumption_function = readxl::read_excel("./data/consumption_function.xlsx") %>% 
  janitor::clean_names() %>% 
    pivot_longer(
    x2019_q1 : x2021_q3,
    names_to = "time",
    names_prefix = "x",
    values_to = "consumption"
  ) 

consumption_function_conclude = consumption_function %>% 
  filter(functions %in% c("Goods","Services","Household consumption expenditures7","Final consumption expenditures of nonprofit institutions serving households (NPISHs)1"))
consumption_function_conclude_fig = plot_ly(consumption_function_conclude)

changing tendency of personal consumption of different kinds of products

consumption_product %>% 
  plot_ly(x = ~time, y = ~consumption, type = "bar", yaxis="y", color = ~products)
## Warning: Ignoring 77 observations
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
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## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
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changing tendency of personal consumption of different kinds of functions

consumption_function %>% 
  plot_ly(x = ~time, y = ~consumption, type = "bar", yaxis="y", color = ~functions)
## Warning: Ignoring 22 observations
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
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consumption_function_conclude %>% 
plot_ly(x = ~time, y = ~consumption, type = "scatter", mode = "lines", yaxis="y", color = ~functions)